Analysing high-throughput sequencing data in Python with HTSeq 2.0

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ID: 302589
2022
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Abstract
HTSeq 2.0 provides a more extensive API including a new representation for sparse genomic data, enhancements in htseq-count to suit single cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes, and Python 3 support.HTSeq 2.0 is released as an open-source software under the GNU General Public License and available from the Python Package Index at https://pypi.python.org/pypi/HTSeq. The source code is available on Github at https://github.com/htseq/htseq.Supplementary data are available at Bioinformatics online.
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openalex_W4221030787 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Givanna Putri, Simon Anders, Paul Theodor Pyl, John E. Pimanda, Fabio Zanini
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Journal BMC Bioinformatics
Year 2022
DOI
10.1093/bioinformatics/btac166
URL
https://academic.oup.com/bioinformatics/article-pdf/38/10/2943/43705068/btac166.pdf
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